Peng Wang

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 10

Top Venues

Soc. Networks

CoRR

Scientometrics

University of Melbourne, Australia (PHD)

Education History

University of Melbourne, Australia

PHD

Publications

Philippa E. Pattison, Garry L. Robins, Tom A. B. Snijders, Peng Wang
Exponential random graph models and pendant-triangle statistics. Soc. Networks 79 (2024)
Alex D. Stivala, Peng Wang, Alessandro Lomi
ALAAMEE: Open-source software for fitting autologistic actor attribute models. CoRR (2024)
H. Colin Gallagher, Dean Lusher, Johan H. Koskinen, Bopha Roden, Peng Wang, Aaron Gosling, Anastasios Polyzos, Martina Stenzel, Sarah Hegarty, Thomas H. Spurling, Gregory W. Simpson
Network patterns of university-industry collaboration: A case study of the chemical sciences in Australia. Scientometrics 128 (8) (2023)
Garry Robins, Dean Lusher, Chiara Broccatelli, David A. Bright, H. Colin Gallagher, Maedeh Aboutalebi Karkavandi, Petr Matous, James A. Coutinho, Peng Wang, Johan H. Koskinen, Bopha Roden, Giovanni Radhitio Putra Sadewo
Multilevel network interventions: Goals, actions, and outcomes. Soc. Networks 72 (2023)
Maedeh Aboutalebi Karkavandi, Peng Wang, Dean Lusher, Brock Bastian, Vicki McKenzie, Garry Robins
Perceived friendship network of socially anxious adolescent girls. Soc. Networks 68 (2022)
Petr Matous, Peng Wang, Lincoln Lau
Who benefits from network intervention programs? TERGM analysis across ten Philippine low-income communities. Soc. Networks 65 (2021)
Alex D. Stivala, H. Colin Gallagher, David A. Rolls, Peng Wang, Garry L. Robins
Using Sampled Network Data With The Autologistic Actor Attribute Model. CoRR (2020)
Petr Matous, Peng Wang
External exposure, boundary-spanning, and opinion leadership in remote communities: A network experiment. Soc. Networks 56 (2019)
Alex D. Stivala, Johan H. Koskinen, David A. Rolls, Peng Wang, Garry Robins
Snowball sampling for estimating exponential random graph models for large networks. Soc. Networks 47 (2016)
Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega
Social selection models for multilevel networks. Soc. Networks 44 (2016)
Ling Heng Henry Wong, André F. Gygax, Peng Wang
Board interlocking network and the design of executive compensation packages. Soc. Networks 41 (2015)
Kayo Fujimoto, Peng Wang, Thomas W. Valente
The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports. Netw. Sci. 1 (2) (2013)
Johan H. Koskinen, Garry Robins, Peng Wang, Philippa Pattison
Bayesian analysis for partially observed network data, missing ties, attributes and actors. Soc. Networks 35 (4) (2013)
Peng Wang, Philippa Pattison, Garry Robins
Exponential random graph model specifications for bipartite networks - A dependence hierarchy. Soc. Networks 35 (2) (2013)
David A. Rolls, Peng Wang, Rebecca Jenkinson, Philippa E. Pattison, Garry Robins, Rachel Sacks-Davis, Galina Daraganova, Margaret Hellard, Emma McBryde
Modelling a disease-relevant contact network of people who inject drugs. Soc. Networks 35 (4) (2013)
Peng Wang, Garry Robins, Philippa Pattison, Emmanuel Lazega
Exponential random graph models for multilevel networks. Soc. Networks 35 (1) (2013)
Gijs Huitsing, Marijtje A. J. Van Duijn, Tom A. B. Snijders, Peng Wang, Miia Sainio, Christina Salmivalli, René Veenstra
Univariate and multivariate models of positive and negative networks: Liking, disliking, and bully-victim relationships. Soc. Networks 34 (4) (2012)
Peng Wang, Wei Ren, Maneesha Singh
A Novel Approach to Spatio-Temporal Video Analysis and Retrieval. MIRAGE (2009)
Peng Wang, Ken Sharpe, Garry Robins, Philippa Pattison
∗) models for affiliation networks. Soc. Networks 31 (1) (2009)
Garry Robins, Pip Pattison, Peng Wang
Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks. Soc. Networks 31 (2) (2009)
Garry Robins, Tom A. B. Snijders, Peng Wang, Mark Handcock, Philippa Pattison
Recent developments in exponential random graph (p*) models for social networks. Soc. Networks 29 (2) (2007)
Harish Bhaskar, Peng Wang
Live cell imaging: a computational perspective. J. Real Time Image Process. 1 (3) (2007)
Maneesha Singh, Peng Wang, Markos Markou
Partial Object Recognition for Improving Novelty Detection in Videos. IJCNN (2006)
Harish Bhaskar, David C. Hoyle, Peng Wang
Machine learning in bioinformatics: A brief survey and recommendations for practitioners. Comput. Biol. Medicine 36 (10) (2006)
Wei Ren, Paul Weal, Maneesha Singh, Peng Wang
Visual Information Retrieval: Minerva Video Benchmark. SPPRA (2006)
Markos Markou, Maneesha Singh, Peng Wang
Neural network analysis of MINERVA scene image benchmark. Neural Comput. Appl. 15 (1) (2006)
Peng Wang, Varun Kumar, Maneesha Singh
Multiresolution Estimates of Classification Complexity and Multiple Subspace Classifiers for Understanding and Solving Complex Recognition Tasks. SPPRA (2006)
Maneesha Singh, Peng Wang, Derek Partridge
Parameter Optimization for Image Segmentation Algorithms: A Systematic Approach. ICAPR (2) (2005)
Peng Wang, Maneesha Singh
A dynamic classifier selection and combination approach to image region labelling. Signal Process. Image Commun. 20 (3) (2005)
Peng Wang, Harish Bhaskar, Jeremy Tavare, Gavin Welsh
Multiple Particle Tracking for Live Cell Imaging with Green Fluorescent Protein (GFP) Tagged Videos. ICAPR (2) (2005)
Maneesha Singh, Peng Wang
Image Enhancement Optimization for Hand-Luggage Screening at Airports. ICAPR (2) (2005)
Peng Wang, Maneesha Singh
On the optimality of image processing pipeline. Pattern Recognit. 37 (4) (2004)
Maneesha Singh, Akbar Javadi, Peng Wang
A Comparison of Texture Teatures for the Classification of Rock Images. IDEAL (2004)
Maneesha Singh, Peng Wang
A Comparison of Image Enhancement Techniques for Explosive Detection. ICPR (4) (2004)
Maneesha Singh, Peng Wang, Derek Partridge
A knowledge-based framework for image enhancement in aviation security. IEEE Trans. Syst. Man Cybern. Part B 34 (6) (2004)
Maneesha Singh, Peng Wang, Matthew Porter
A Mixture of Experts Image Enhancement Scheme for CCTV Images. IDEAL (2004)
Peng Wang, Maneesha Singh
Explosives detection systems (EDS) for aviation security. Signal Process. 83 (1) (2003)
Maneesha Singh, Peng Wang
Texture Algorithms: Performance Variability Across Data Sets. Cybern. Syst. 34 (1) (2003)
Peng Wang, Maneesha Singh, Markos Markou
Feature Selection for Face Recognition Based on Data Partitioning. ICPR (1) (2002)
Maneesha Singh, Markos Markou, Peng Wang
Colour Image Texture Analysis: Dependence on Colour Spaces. ICPR (1) (2002)
Maneesha Singh, Peng Wang
Spatial Texture Analysis: A Comparative Study. ICPR (1) (2002)

Peng Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peng Wang